InsightSprint

01 Overview

InsightSprint is an AI-powered market research platform built for the GenAI Zurich Hackathon 2026. It automates the entire research workflow, from market landscape analysis and competitor intelligence to customer research and go-to-market strategy, using a 4-step agentic AI pipeline. Users simply ask a research question and receive comprehensive analysis including executive overviews, data-driven insights, risk assessments, strategic next steps, and pitch deck outlines with verified sources. The platform supports dual AI providers (Groq and Gemini) and delivers professional-grade market intelligence in minutes instead of weeks.

02 The Challenge

Market research traditionally takes weeks, costs thousands of dollars, and requires entire teams of analysts. Small teams and startups often can't afford this, leading to uninformed decisions. The challenge was to build a platform during a 48-hour hackathon that could take a vague research goal and autonomously produce structured, actionable market intelligence, complete with verified sources and presentation-ready outputs, while being fast enough for real-time use.

03 The Solution

1. 01Built a 4-step agentic AI pipeline (Planning → Gathering → Synthesis → Strategy) that autonomously breaks down research goals, collects data, synthesizes findings, and generates strategic recommendations.
2. 02Developed the frontend with React 19, TypeScript, Vite, Tailwind CSS, and Framer Motion for a responsive, animated interface with real-time processing visualization.
3. 03Implemented dual AI provider support, Groq (llama-3.3-70b for speed) and Gemini (gemini-2.0-flash for depth), letting users choose based on their needs.
4. 04Built an Express.js backend with server-side AI orchestration, handling the multi-step research pipeline and streaming results back to the client.
5. 05Integrated Firebase Authentication (Google sign-in) and Firestore for research history, allowing users to save and revisit past research sessions.
6. 06Designed structured output format delivering executive overview, key insights, risks & gaps analysis, strategic next steps, and slide-ready pitch deck outlines with verified sources.
7. 07Deployed on Vercel with CI/CD from GitHub for instant production updates.

04 Key Features

• 4-step agentic AI research pipeline
• Dual AI provider support (Groq + Gemini)
• Real-time processing with step-by-step visualization
• Executive overview with data-driven insights
• Risk & gaps analysis with strategic next steps
• Pitch deck outline generation with verified sources
• Research history with Firebase Auth
• Built-in research templates for common use cases